calc_relative_var {simhelpers} | R Documentation |
Calculate jack-knife Monte Carlo SE for variance estimators
Description
Calculates relative bias, mean squared error (relative mse), and root mean squared error (relative rmse) of variance estimators. The function also calculates the associated jack-knife Monte Carlo standard errors.
Usage
calc_relative_var(
data,
estimates,
var_estimates,
criteria = c("relative bias", "relative mse", "relative rmse")
)
Arguments
data |
data frame or tibble containing the simulation results. |
estimates |
Vector or name of column from |
var_estimates |
Vector or name of column from |
criteria |
character or character vector indicating the performance criteria to be calculated. |
Value
A tibble containing the number of simulation iterations, performance criteria estimate(s) and the associated MCSE.
Examples
calc_relative_var(data = alpha_res, estimates = A, var_estimates = Var_A)
[Package simhelpers version 0.2.1 Index]